检索结果-内蒙古大学图书馆

8th ieee symposium on large-Scale data analysis and visualization (LDAV)

作者： Preston, Annie Li, Yiran Sauer, Franz Ma, Kwan-Liu Univ Calif Davis Davis CA 95616 USA Zhejiang Univ Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781538668733

Studying large, complex simulations entails understanding their uncertainties. However, visualization tools that rapidly quantify simulation uncertainty may require precise tuning, give limited information, or struggle to disentangle uncertainty sources. We propose a fast, scalable regression-based approach that uses bootstrapping on small samples of simulation data to model the effect of uncertainty from discreteness. We test the approach on three types of simulations with unique sources of uncertainty: particles (dark matter), ensembles (ocean), and discretized flows (traffic). We create a visualization tool to facilitate this modeling, showing training data and predictions in real time. Scientists, who need to provide only modest supervision, can use our tool to quickly understand how initial conditions and parameterizations affect observable quantities, their uncertainties, and their agreement with experimental data. We show that our tool offers a speedup of several orders of magnitude over comparable uncertainty calculation approaches.

关键词： Uncertainty sampling simulations

来源：评论

学校读者我要写书评

暂无评论

Comparison of Multiple large Fluid-Structure Interaction Simulations in Virtual Reality 8

Comparison of Multiple Large Fluid-Structure Interaction Sim...

引用

8th ieee symposium on large-Scale data analysis and visualization (LDAV)

作者： Orban, Daniel Johnson, Seth Runesha, Hakizumwami Birali Meng, Lingyu Juhnke, Bethany Erdman, Arthur Samsel, Francesca Keefe, Daniel F. Univ Minnesota Minneapolis MN 55455 USA Univ Chicago Chicago IL 60637 USA Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781538668733

Scientific visualization tools are rapidly embracing the necessary challenge of simultaneously visualizing multiple parameterized simulation data sets [8]. In the new paradigm, scientists hope to understand parameter relationships and stochastic trends that exist in a parameter space [6], [7]. At the same time, virtual reality (VR) environments have enabled exciting possible opportunities for exploring and comparing time varying spatial data sets [3]. Although VR offers a unique perspective to view 3D and 4D data, it requires high framerates for interactivity and optimized use of precious GPU memory. Accurate simulations, on the other hand, are often very large due to dynamic unstructured mesh resolutions and small timesteps, making it difficult to simply render even one data set. To solve this, large data visualization frameworks often use data sampling and efficient rendering techniques to engage the GPU [1], [8]. Even then, VR is mostly used to add a stereoscopic view, and is rarely an integral part of interactive data instance comparison [3]. © 2018 ieee.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Real-Time Thermal Map Characterization and analysis for Commercial GPUs with AI Workloads

Real-Time Thermal Map Characterization and Analysis for Comm...

引用

ieee International symposium on Quality Electronic Design

作者： Jincong Lu Sachin Sachdeva Yuxuan Lin Sheldon X.-D. Tan Department of Electrical and Computer Engineering University of California Riverside CA USA The Overlake School Redmond WA USA

ISBN: (数字)9798331509422

ISBN: (纸本)9798331509439

AI accelerators such as GPUs are critical for emerging generative AI applications. However, due to the large power consumption of those AI chips, accurate characterization and modeling of spatial thermal map behaviors over practical AI workloads are important for designing better computing resource management and cooling solutions. However, it is challenging to obtain accurate thermal maps of those chips under practical AI workloads due to demanding cooling requirements, which prevents the direct thermal measurement of chips. This paper investigates the spatial thermal maps of the commercial NVIDIA GeForce RTX 4060 GPU chip for the first time. First, we managed to obtain the real-time full-chip thermal maps of the NVIDIA GPU with timed workloads supported by a bottom-cooling thermal IR imaging system. Second, we observed that the thermal hot spots are actually located in the I/O and peripheral areas of the chips, which indicates the intensive data movements in the GPU. The computing areas of GPU, on the other hand, show smoother thermal distributions with a few hotspots, which is quite different than commercial multi-core CPUs. Furthermore, based on real-time information from the NVIDIA System Management Interface (NVIDIA-SMI), we developed a deep neural networks based full-chip thermal map estimation method, called GPUThermalMap, for GPUs for the first time, which can be instrumental for dynamic thermal, power, and reliability management. Numerical results highlight the effectiveness of GPUThermalMap in achieving highly accurate thermal map predictions, boasting an RMSE of only 0.19°C or 0.6% of the full-scale error. It also outperforms the GAN-based method, ThermalGAN, by 2.09x in terms of accuracy on average. Besides, the proposed model offers real-time estimation with a rapid speed of 22ms on the target chip.

关键词： Accuracy Cooling Graphics processing units Estimation AI accelerators Machine learning Thermal management Real-time systems Numerical models Thermal analysis

来源：评论

学校读者我要写书评

暂无评论

Streaming Ultra High Resolution Images to large Tiled Display at Nearly Interactive Frame Rate with vl3 5

Streaming Ultra High Resolution Images to Large Tiled Displa...

引用

ieee 5th symposium on large data analysis and visualization (LDAV)

作者： Jiang, Jie Hereld, Mark Insley, Joseph Papka, Michael E. Rizzi, Silvio Uram, Thomas Vishwanath, Venkatram Univ Illinois Chicago IL 60607 USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL USA

ISBN: (纸本)9781467385176

visualization of large-scale simulations running on supercomputers requires ultra-high resolution images to capture important features in the data. In this work, we present a system for streaming ultra-high resolution images from a visualization cluster to a remote tiled display at nearly interactive frame rates. vl3, a modular framework for large scale data visualization and analysis, provides the backbone of our implementation. With this system we are able to stream over the network volume renderings of a 2048(3) voxel dataset at a resolution of 6144x3072 pixels with a frame rate of approximately 3.3 frames per second.

关键词： I.3.1 [Computing Methodologies]: Computer Graphics ??? Hardware Architecture: Parallel Processing I.3.2 [Computing Methodologies]: Computer Graphics ??? Graphics Systems: Distributed/network graphic Frame Rate image resolution Streaming Resolving power supercomputer visualization Interactive images pixel Frame High definition

来源：评论

学校读者我要写书评

暂无评论

Narrative In Situ Visual analysis for large-Scale Ocean Eddy Evolution

引用

ieee COMPUTER GRAPHICS AND APPLICATIONS 2022年第3期42卷 65-73页

作者： Han, Xiaoyang Yu, Xiaomin Li, Guan Liu, Jun Zhao, Ying Shan, Guihua Univ Chinese Acad Sci Beijing 101408 Peoples R China Cent South Univ Sch Informat Sci & Engn Changsha 410017 Peoples R China

The rapid development of high-performance computing systems has led to a rapid increase in the speed of flow field simulation calculations. However, large-scale simulation output data lead to storage bottlenecks and inefficient data analysis. In this work, we used in situ visualization to process the simulation analysis of large-scale flow fields. Combined with narrative visual analysis, we designed a large-scale ocean flow field eddy evolution analysis system based on in situ visualization. Our system can generate high-precision eddy streamline structures in real time and supports eddy statistical analysis and tracking analysis at different ocean regional scales. Through the case data analysis of ocean simulation, we demonstrated the efficiency and effectiveness of the system.

关键词： Oceans visualization data visualization data models Computational modeling Analytical models Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Bandlimited OLAP Cubes for Interactive Big data visualization 5

Bandlimited OLAP Cubes for Interactive Big Data Visualizatio...

引用

ieee 5th symposium on large data analysis and visualization (LDAV)

作者： Reach, Caleb North, Chris Virginia Tech Blacksburg VA 24061 USA

ISBN: (纸本)9781467385176

visualizations backed by data cubes can scale to massive datasets while remaining interactive. However, the use of data cubes introduces artifacts, causing these visualizations to appear noisy at best and deceptive at worst. Moreover, data cubes highly constrain the space of possible visualizations. For example, a histogram backed by a data cube is constrained to have a bin width that is a multiple of the data cube bin size. Similarly, for dynamic queries backed by data cubes, query extents must be aligned with bin boundaries. We present bandlimited OLAP (online analytical processing) cubes (BLOCs), a technique that uses established tools from digital signal processing to generate interactive visualizations of very large datasets. Based on kernel density plots and Gaussian filtering, BLOCs suppress the artifacts that occur in data cubes and allow for a continuous range of zoom/pan positions and continuous dynamic queries.

关键词： data cubes visualization Online analytical processing Cube bandlimited data visualisation Bin Interactive Digital signal processing big data

来源：评论

学校读者我要写书评

暂无评论

Improved Post Hoc Flow analysis Via Lagrangian Representations 4

Improved Post Hoc Flow Analysis Via Lagrangian Representatio...

引用

ieee symposium on large data analysis and visualization

作者： Agranovsky, Alexy Camp, David Garth, Christoph Bethel, E. Wes Joy, Kenneth I. Childs, Hank Univ Calif Davis Davis CA 95616 USA Lawrence Berkeley Natl Labs Berkeley CA USA Univ Oregon Eugene OR 97403 USA Univ Kaiserslautern Kaiserslautern Germany

ISBN: (纸本)9781479952151

Fluid mechanics considers two frames of reference for an observer watching a flow field: Eulerian and Lagrangian. The former is the frame of reference traditionally used for flow analysis, and involves extracting particle trajectories based on a vector field. With this work, we explore the opportunities that arise when considering these trajectories from the Lagrangian frame of reference. Specifically, we consider a form where flows are extracted in situ and then used for subsequent post hoc analysis. We believe this alternate, Lagrangian-based form will be increasingly useful, because the Eulerian frame of reference is sensitive to temporal frequency, and architectural trends are causing temporal frequency to drop rapidly on modern supercomputers. We support our viewpoint by running a series of experiments, which demonstrate the Lagrangian form can be more accurate, require less I/O, and be faster when compared to traditional advection.

关键词： flow visualization high-performance computing compression particle advection pathline interpolation

来源：评论

学校读者我要写书评

暂无评论

3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization

3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Sp...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yafeng Chen Siqi Zheng Hui Wang Luyao Cheng Tinglong Zhu Rongjie Huang Chong Deng Qian Chen Shiliang Zhang Wen Wang Xihao Li Speech Lab Alibaba Group Carnegie Mellon University Zhejiang University University of North Carolina Chapel Hill

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

We introduce 3D-Speaker-Toolkit, an open-source toolkit for multimodal speaker verification and diarization, designed for meeting the needs of academic researchers and industrial practitioners. The 3D-Speaker-Toolkit adeptly leverages the combined strengths of acoustic, semantic, and visual data, seamlessly fusing these modalities to offer robust speaker recognition capabilities. The acoustic module extracts speaker embeddings from acoustic features, employing both fully-supervised and self-supervised learning approaches. The semantic module leverages advanced language models to comprehend the substance and context of spoken language, thereby augmenting the system’s proficiency in distinguishing speakers through linguistic patterns. The visual module applies image processing technologies to scrutinize facial features, which bolsters the precision of speaker diarization in multi-speaker environments. Collectively, these modules empower the 3D-Speaker-Toolkit to achieve substantially improved accuracy and reliability in speaker-related tasks. With 3D-Speaker-Toolkit, we establish a new benchmark for multimodal speaker analysis. The toolkit also includes a handful of open-source state-of-the-art models and a large-scale dataset containing over 10,000 speakers. The toolkit is publicly available at https://***/modelscope/3D-Speaker.

关键词： visualization Adaptation models Runtime Semantics Self-supervised learning Signal processing Feature extraction Acoustics Speaker recognition Speech processing

来源：评论

学校读者我要写书评

暂无评论

GraphRay: Distributed Pathfinder Network Scaling 7

GraphRay: Distributed Pathfinder Network Scaling

引用

ieee 7th symposium on large data analysis and visualization (LDAV)

作者： Arleo, Alessio Kwon, Oh-Hyun Ma, Kwan-Liu Univ Perugia Perugia Italy Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9781538606179

Pathfinder network scaling is a graph sparsification technique that has been popularly used due to its efficacy of extracting the "important" structure of a graph. However, existing algorithms to compute the pathfinder network (PFNET) of a graph have prohibitively expensive time complexity for large graphs: O(n(3)) for the general case and O(n(2) logn) for a specific parameter setting, PFNET(r = infinity, q = n-1), which is considered in many applications. In this paper, we introduce the first distributed technique to compute the pathfinder network with the specific parameters (r = 8 and q = n-1) of a large graph with millions of edges. The results of our experiments show our technique is scalable;it efficiently utilizes a parallel distributed computing environment, reducing the running times as more processing units are added.

关键词： data visualization Distributed algorithms Algorithm design and analysis Time complexity visualization Electronic mail Programming

来源：评论

学校读者我要写书评

暂无评论

Visual analysis of Cloud Computing Performance Using Behavioral Lines

引用

ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2016年第6期22卷 1694-1704页

作者： Muelder, Chris Zhu, Biao Chen, Wei Zhang, Hongxin Ma, Kwan-Liu Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Zhejiang Univ State Key Lab CAD&CG Hangzhou 310058 Zhejiang Peoples R China

Cloud computing is an essential technology to Big data analytics and services. A cloud computing system is often comprised of a large number of parallel computing and storage devices. Monitoring the usage and performance of such a system is important for efficient operations, maintenance, and security. Tracing every application on a large cloud system is untenable due to scale and privacy issues. But profile data can be collected relatively efficiently by regularly sampling the state of the system, including properties such as CPU load, memory usage, network usage, and others, creating a set of multivariate time series for each system. Adequate tools for studying such large-scale, multidimensional data are lacking. In this paper, we present a visual based analysis approach to understanding and analyzing the performance and behavior of cloud computing systems. Our design is based on similarity measures and a layout method to portray the behavior of each compute node over time. When visualizing a large number of behavioral lines together, distinct patterns often appear suggesting particular types of performance bottleneck. The resulting system provides multiple linked views, which allow the user to interactively explore the data by examining the data or a selected subset at different levels of detail. Our case studies, which use datasets collected from two different cloud systems, show that this visual based approach is effective in identifying trends and anomalies of the systems.

关键词： Cloud computing multidimensional data performance visualization visual analytics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：